ocsigenserver

web server of the Ocsigen project

The Ocsigen project is aimed at proposing clean and safe tools for developing and running client/server Web 2.0 applications.

python3-calendra

Worldwide holidays and workdays computational toolkit (Python3 version)

Calendra is a Python module that offers classes able to handle calendars, list legal / religious holidays and gives working-day-related computation functions. It is a fork of Workalendar designed to be more extensible and introspectable, adding interfaces where Workalendar is philosophically opposed for the sake of simplicity.

python3-os-faults

OpenStack fault-injection library - Python 3.x

The library does destructive actions inside an OpenStack cloud. It provides an abstraction layer over different types of cloud deployments. The actions are implemented as drivers (e.g. DevStack driver, Fuel driver, Libvirt driver, IPMI driver).

r-cran-patchwork

GNU R the composer of plots

The 'ggplot2' package provides a strong API for sequentially building up a plot, but does not concern itself with composition of multiple plots. 'patchwork' is a package that expands the API to allow for arbitrarily complex composition of plots by, among others, providing mathematical operators for combining multiple plots. Other packages that try to address this need (but with a different approach) are 'gridExtra' and 'cowplot'.

r-cran-ragg

GNU R graphic devices based on AGG

Anti-Grain Geometry (AGG) is a high-quality and high-performance 2D drawing library. The 'ragg' package provides a set of graphic devices based on AGG to use as alternative to the raster devices provided through the 'grDevices' package.

librandom-numbers0d

Robot OS random numbers library

This package is part of Robot OS (ROS). It contains a library which provides wrappers for generating floating point values, integers, and quaternions using boost libraries. The constructor of the wrapper is guaranteed to be thread safe and initialize its random number generator to a random seed. Seeds are obtained using a separate and different random number generator.